Projects using Microsoft Power BI in Punjab
Projects using Microsoft Power BI in Punjab
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1
Shahid Iqbal
pro
Inventory Management System
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14
Message
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Nauman Khan
pro
Cyber Insurance & Security Threat Monitoring Portal
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4
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Ali Hassan
Bikes Sales Analysis
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240
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1
Muneeb Shafique
Sales & Marketing Report by Muneeb
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4
Message
1
Umer Farooq
Monthly reporting cut from 5 hours to under 10 minutes 3 slow-moving product lines found — overstock reduced by 22% Dashboard refreshes daily from source files — zero
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19
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1
Hafsa Khan
In this project, I provide structured data solutions designed to improve business efficiency. My work focuses on maintaining high-accuracy databases through systematic data cleaning, formatting, and CRM integration. I also specialize in creating visual Excel dashboards that transform raw data into clear, actionable insights for B2B lead generation.
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121
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Syed Fatik Islam
Instagram Chat Analysis
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14
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Shoaib Sajid
Comprehensive Power BI Dashboard for Pharmacy Sales
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0
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1
Umair Nawaz
Customer Support Performance & SLA Analytics System
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8
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0
Shahroz Naeem
Case Study: Building Pipelines & Visualizations for Insights
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7
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Muhammad Bilal Jahangir
Maximize Your ROI with Bing/Microsoft Ads.
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5
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1
Shahid Imran
Beyond the 5 Stars: The Unseen Story in Amazon Alexa Reviews Everyone talks about how much people love their Alexa devices. The overall ratings are stellar (4.46/5 avg.), and yes, a dominant 76.35% of reviews are positive. But the real story is often in the shadows of that success. Despite 76% positive sentiment, 1 in 5 reviews are neutral/negative. Even 1-star reviews contain words like "Love," showing frustration from disappointed fans. The word cloud tells the real story: alongside "Great" and "Easy" sit "problems," "doesn't," and "disappointed." Mass appeal can mask specific, recurring failures. True excellence solves for the criticism hidden in the praise. #AmazonAlexa #VoiceTech #CustomerFeedback #SentimentAnalysis #DataAnalytics #ProductManagement #Tech #UserExperience #DataStorytelling #PowerBI
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73
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Mobeen Siddiqi
This dashboard is based on data from a WhatsApp group of a community. It is a housing complex divided into lanes. Each lane has a separate WhatsApp group, and NLP was performed on discussions. Issues related to 3 utilities were considered in reports, i.e., water, electricity, and gas. The community wanted to see the frequency of issues and who is more active to highlight the issues.
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12
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Zafran Ali Khan
Insights-into-the-Data-Professionals-Demographical-and-Expertis…
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13
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Shahjahan Khan
Survey From X - Dashboard
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9
Message
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Nida Nawaz
Power Bi Dashboard
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5
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